The Josh Bersin Company

Jaksot

• Understanding The New Words of AI: Harness, Layer, Fabric, Surface, And More... 01.06.2026 20min

  I’ve decided that the biggest challenge we have in AI is now keeping track of the new words being created. Words like harness, layer, mesh, vector, orchestrator, tools, surface, memory – they all mean very special things. And engineers and marketing people keep dreaming up new ones (spine? pattern? control plane? MCP? LangChain? headless? MCP? mesh? ontology?). In this podcast I do my best to explain what these words mean, and give you a non-technical understanding of how all this stuff works. If people like this I’ll keep you up to date on all these new words. Additional Information (Note that all our research and podcasts are in Galileo) AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI The Reinvention of Workday: From System of Record to Platform of Agents Could Microsoft Win The War For Enterprise AI? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) Jensen Huang’s Taipei Speech (filled with this jargon) The Superagent for HR: Galileo Mars Release
• Google I/O Enterprise Strategy, HR 2030, Avoiding A Bag of Doorknobs 29.05.2026 17min

  Here’s an update on Google’s Gemini Flash 3.5 (bad name) and how it impacts the enterprise market, an update on Google AI in Search, and an update on the HR 2030 architecture coming out at Irresistible. I also want to thank you as a listener, we discovered that this podcast now reaches 4 million HR and business professionals around the world. I take that responsibility very seriously and we all work very hard to avoid advertisements or any kind of “blind opinions” in this format. You do get all my and our perspectives of course and I encourage you to get Galileo, our amazing AI platform, which serves as “me” – you can ask it any question and it answers, guides you, and helps you learn and solve problems. By the way we’re going to be demonstrating some groundbreaking new Galileo capabilities at Irresistible, including the ability to load your entire company model. This means you can model a reorganization, redeployment, upskilling, flattening, or AI transformation for your team, business, or company – even looking at pay inequities and more. Those of you coming will see this in action. (Galileo Suite is only $79 a month or $795 a year.) The “bag of doorknobs” phrase is one I learned as a software guy, it refers to the mess we create when we buy 140 employee systems and then add 500 new agents without an architectural strategy. Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI HR 2030: The Vision for Agentic HR Hits Reality Get Galileo, The Everything HR AI Ready For You  
• Laurent Aufils, Chief People Officer at Orange Business: AI Transformation Is a People Project 28.05.2026 26min

  What if the biggest mistake companies make with AI transformation is treating it as a technology problem? Laurent Aufils, Chief People Officer at Orange Business, knows that it’s all about people. In this episode, Kathi Enderes sits down with Laurent to explore how one of the world’s leading digital services companies transformed its entire 30,000-people workforce through a people-first approach to generative AI. The results are concrete and striking. Orange Business’s AI-powered contract management tool slashed what previously took teams weeks of painstaking analysis to under three hours — fundamentally disrupting not just how people work, but how they understand the value they bring.  Rather than letting 30,000 people go and rehiring AI specialists, Laurent and his team made a bold choice: there will always be a human in the loop. That principle became the foundation of everything — the cultural compass that kept employees from fearing the future and turned anxiety into engagement. The numbers tell the story. Among employees who went through Orange Business’s reskilling and upskilling programs, employee Net Promoter Scores shot from a modest +8 to a remarkable +41. Over 90% of the company’s workforce is now trained in generative AI, and more than 60% use it as a regular part of their daily work.  AI certifications became a business objective on par with financial targets, and the company won contracts specifically because clients knew their teams had the credentials to back up their pitch. But perhaps the most powerful insight Laurent shares is about learning. In the AI era, learning is no longer a one-time investment or a classroom event; it is a continuous business capability, and it must be embedded into the rhythm of everyday work. Orange Business’s YouTime initiative — dedicating three hours per month per employee to learning — changed the entire mindset of the organization. Paired with an 11,000-member internal generative AI community, it created the kind of grassroots momentum that no top-down mandate ever could. Laurent’s advice to CHROs and HR leaders: stay humble, keep experimenting, and never let technology outpace your people. Related resources Podcast: Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You.  The Superworker Organization: AI Goes Enterprise AI Pacesetters: Six Secrets Of The Superworker Company  The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR  
• The Pope's Encyclical on Safeguarding Humans In The Face of AI 27.05.2026 11min

  The Pope’s Encyclical on AI is well worth reading. It’s not only about the perils and risks of technology, it’s really a manifesto about power. I found the essay extremely valuable to read so I wanted to share my perspectives on the topic and the fascinating analogy between AI and The Tower of Babel. I welcome your thoughts and comments. Additional Information The Encyclical Summary: Pope Leo’s ‘Magnifica humanitas’: AI must serve humanity not concentrate power AI Prices Are Going Up, Up, Up – Maybe Workers Are More Productive Than You Thought
• Reflections On The Sana AI Summit In New York City 23.05.2026 22min

  This week I attended the Sana AI Summit in NYC, so I wanted to share the various conversations and new ideas that came from this multi-disciplinary meeting. I hope my summary helps you see some of the bigger issues at play here. Will AI destroy the job market? What is the real economic value so far? What is the difference between AI and humans? How safe is AI in reality? And how can we use AI to really better our lives, careers, and companies? I hope my summary gives you some new ideas to think about as this technology permeates our lives and businesses. (And I recommend Geoffrey Hinton’s discussion for a listen.) Speaker Role / affiliation listed Tyler Cowen Economist and author Geoffrey Hinton Computer scientist and “Godfather of AI” Anton Osika Co-Founder, Lovable Lauren Crichton Vice President, Sana Benjamín Labatut Writer Aneel Bhusri Co-founder, CEO and Chair, Workday Jasmine Sun Tech anthropologist Joel Hellermark Founder and CEO, Sana Sara Imari Walker Astrobiologist Ethan Mollick Professor of Entrepreneurship Anu Atluru Essayist and technologist
• Surprise, Your AI Doesn't Train Itself. Building and Maintaining AI Agents. 22.05.2026 15min

  Many of our clients are playing with Claude, building things, and telling us about their amazing new innovations. But there’s a strange misconception out there – the idea that you can just “buy an Agent” and turn it on immediately. AI doesn’t quite work this way. These systems “become you” – which means you have to train, maintain, tune, and continuously monitor them. Here’s the story for a quick listen. Here is a brief background on “managing and maintaining” AI agents. And remember, this is the power of AI – you want it to “learn” about your company!  But like a junior staff member, you have to coach and train it. Additional Information Introducing HR 2030: A Vision For Agentic Human Resources Agentic HR: Where Enterprise AI Is Going – Imperatives  Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR
• New Research On Frontline and Cornerstone Goes Big Into AI 20.05.2026 20min

  This week I’m in New York “Live!” and there are some exciting things happening: we launched our newest research on “The Five Types of Frontline Worker” which will help you dramatically improve that part of your business, and Cornerstone, the largest L&D tech provider, went BIG into AI. Listen up for more details, and read the newest article for analysis. Additional Information Josh Bersin Company Defines New HR Taxonomy for Frontline Workers to Improve Hiring, Pay, Retention, and Management Research: Understanding The Five Types of Frontline Workers Cornerstone Launches Its Reinvention, Helping to Redefine Corporate Learning Get Galileo: The Everything HR AI Agent for HR and Leaders  
• Long Live A Liberal Arts Education: Why Humanities And Science Matter In Life and Careers. 16.05.2026 21min

  This week I turn 70 so and we’re in college graduation season, so I took some time to give you my perspectives on “The Liberal Arts Education,” and why it matters so much. Not only are liberal arts important to your personal understanding of the world, they give you career skills you’ll use forever. I explain today, using myself as an example, why and how liberal arts, science, history, politics, and learning to think and write are the most important skills you have. As we read about college grads complaining about AI and struggling to find jobs, I think you’ll find this inspiring and positive for the future. We’re living in a very disruptive time, and your perspectives on the “system of life” and “system of work” is one of the most valuable capabilities you build over time. I’ll be talking much more about this in New York this week, and I hope to see many of you there or at Irresistible in June. Have a wonderful weekend and I hope this podcast gives you new perspectives you can use in your life as a professional, HR leader, manager, or parent. Additional Information Irresistible 2026: The Global HR Conference for Leaders and their Teams – join us! Liberal Arts Colleges in Crisis: Long Live Liberal Arts (Bloomberg) Introducing HR 2030: A Vision For Agentic Human Resources Everything We Know About HR and Leadership: Get Galileo, the AI Superagent for HR  
• How Do Some Employers Hire Frontline Workers 5X Faster With Higher Quality? 16.05.2026 36min

  Frontline workforce hiring is important: these are the workers who deliver services, care for patients, and deliver the food or products that we rely on every day. Yet as we look at benchmarks for hiring and retention we see massive variations across companies. In fact the highest-performing companies hire 5-times quicker than others, and also find higher quality candidates! (Speed actually improves your quality of hire…) Nehal Nangia, our lead analyst studying frontline work, explains the complexities. And as you’ll hear from Josh Secrest from Paradox, there are massive business implications in time to hire. Interestingly enough, well designed AI platforms for frontline hiring have a massive return on investment.  As Nehal explains, frontline hiring is very complicated, and fewer than 25% of companies have figured this out. Lots of room for innovation and AI tools to help! This podcast will open your eyes. Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive The Talent Acquisition Revolution: How AI is Transforming Recruiting Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You. Insights-First AI: Better and Explainable People Decisions  
• Build vs. Buy. It's So Easy To Build HR Software Now! Or Is It? 14.05.2026 15min

  I just attended the Eightfold user conference where they introduced TalentForge, a toolset to build agents, and the CEO Ashutosh Garg told us their HR team could build their own HRMS. Gloat is offering much of the same toolset, with integrations into Microsoft Teams, Copilot, Gemini and Claude – and you can import all your business rules from SuccessFactors, Workday, and other tools. And almost all HR vendors (Findem, Eightfold, our own Galileo) have MCP plugins so you can access them in any agent you choose. So the big question looms: what should you build and what should you buy? In this podcast I explain some of the considerations here and warn you that A) this is not as “easy” as it looks, and B) in a corporate setting you may want to think twice before you embark on a major replacement on your own. On the other hand, fire up Cowork or another tool and build your own personal agent, as long as your data security is in place. Lots of experimentation ahead and we will introduce you to companies that have built dozens of amazing HR agents at Irresistible 2026. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything Could Microsoft Win The War For Enterprise AI? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) The Superagent for HR: Galileo Mars Release
• The Economics of Enterprise AI: For Buyers and Vendors 09.05.2026 24min

  We’re now at a stage where enterprise-class AI solutions are real, and suppliers are jockeying for position. Microsoft has consolidated its Copilot efforts into a more integrated offering, and also raised prices. Workday and ServiceNow have defined new consumption-based pricing models which shift from “buying seats” to “buying capacity.” The Frontier model vendors like Anthropic and OpenAI are spending money massively, ready to go public soon, so we’ll understand their business models. And in the meantime both are investing in PE-backed joint ventures to build more engineering and implementation services to speed enterprise adoption. The big story is clear to me: we’re in the early stage of a multi-trillion dollar redesign and reinvention of our companies, employee experiences, and customer experiences – all moving to a model we call “Dynamic Enablement.” Despite this direction, the products are new and immature, so there’s lots of risk-investment to undertake. In this podcast I give HR and IT buyers our experience with AI projects so far, and show you that a focus on near-term use-cases is the best way to proceed. As they say, you can only eat an elephant “one bite at a time.” Just as mainframe transformation took decades, so will AI transformation take time (albeit less time!). So invest wisely and you’ll see tremendously positive ROI quickly. Finally let me offer our help. We’ve already helped dozens of companies build high ROI AI solutions in recruiting, training, enablement, and employee experience. Watch for more in our HR 2030 program to stay in touch. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents Could Microsoft Win The War For Enterprise AI? ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Superagent for HR: Galileo Mars Release
• Is The SaaS Apocalypse Over? ServiceNow Says Yes, And Sees A $30 Billion Opportunity 08.05.2026 14min

  This week ServiceNow launched a massive set of new products to establish itself as the system that manages every AI agent in the enterprise.  It’s a bold set of new products, including Otto (Moveworks), the Agent Fabric, the Context Engine, and the Autonomous AI Specialists. In reality the strategy is an expanded view of what Workday (Agent System of Record and Sana) and Microsoft (Agent 365 and Work IQ) are doing, but with a much deeper set of tools. Not only is this a bold move to accelerate Agentic HR and Agentic business systems, it now explains why enterprise software companies are far from dead. In fact, the monetization model here is for you to pay for AI credits (ServiceNow has different levels of usage) and that revenue, which helps ServiceNow grow, is offset by your reduction in labor cost. It’s all explained in this article and the podcast, and the implications are big for IT, HR software companies, and all of you trying to build AI solutions for your team. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents Could Microsoft Win The War For Enterprise AI? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) The Superagent for HR: Galileo Mars Release
• Jennifer Morgan, CEO of UKG, Wants To Reinvigorate The Global Economy Around Frontline Work 05.05.2026 30min

  I had an uplifting conversation with Jen Morgan, the CEO of UKG, a $5 billion global AI platform for HR, pay, and workforce management. In addition to talking about the company and her role as CEO, she actually has another mission: to put Frontline Workers first in our economy. Frontline workers, the people who deliver groceries and food, care for patients in the hospital, work in hospitality, or maintain public safety, make up 72% of the US workforce and almost 80% of employees worldwide. These often hourly or shift workers form the backbone of our economy: making our lives better, putting out fires, and keeping our streets safe. UKG’s mission is to make their work lives better through better scheduling, pay, benefits, hiring, and training systems – all in an integrated offering called “The Workforce Operating Platform.” Built through the merger of Kronos with Ultimate Software in 2020, UKG has pioneered this groundbreaking integrated solution. UKG has more than 80,000 customers and serves more than 65 million workers every day. And its software and tools support and monitor much of their daily lives at work, so Jen knows a lot about what it takes to run what we call a “Frontline First” company. I know you’ll enjoy this conversation, and stay tuned for our new research on the Dynamics Of The Frontline, coming this month. Additional Information UKG Stakes Out Leadership Position In $6.5 Trillion Market For Frontline Work Powering the Frontline Workforce: How Frontline-First Companies Thrive Josh Bersin Company Highlights Cost of Neglecting Frontline Workers Get Galileo, The AI Superagent for HR
• The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems 01.05.2026 19min

  This week we saw some astounding GDP numbers, a modest 2% growth with an astounding 70% attributed to AI capital spending. The US economy is heavily AI centric, starving spending on housing which ultimately contributes to income inequality. At the same time companies are now reducing employee benefits, halting a two decade steady increase. It’s all about the shift from labor to machines, I guess. I also talk about the role of legacy systems in the new world of Agentic HR, Agentic Finance, and Agentic ERP. Lots going on, I hope this gives you some perspective on the massive AI economic transformation we’re living in. It’s all good and one of the most exciting times in our careers. Additional Information Why AI Is A Massive Job-Creation Technology, Despite What You Think Introducing HR 2030: A Vision For Agentic Human Resources The Reinvention of Workday: From System of Record to Platform of Agents The Superagent for HR: Galileo Mars Release Irresistible 2026: The Global Conference for HR Leaders and their Teams (June 8-10, USC)
• How RecruitMilitary Uses AI to Transform Veteran Hiring 30.04.2026 25min

  What does it take to bridge one of the most persistent translation problems in talent acquisition – getting a Fortune 500 recruiter to see why a Little Bird attack helicopter pilot from the 160th Special Operations Aviation Regiment is the perfect candidate for their open role? Tim Best, CEO of RecruitMilitary and former active duty Army officer, gives us a mission-driven and practical answer: go beyond the resume. Resumes and job descriptions flatten people. And for veterans, who enter the civilian workforce carrying hundreds of thousands of skills and attributes that don’t map to corporate job architectures, that flatness is the enemy. The technology RecruitMilitary built with Findem, the Veteran Talent Source, solves this by giving recruiters a three-dimensional view of who a candidate actually is: not just what they did, but what they’ve continuously become. Because profiles are enriched in real time, the candidate in someone’s ATS today is not the candidate from 25 years ago – and the AI knows the difference. The results are outstanding. In 2025, RecruitMilitary created over 600,000 connections between employers and military community job seekers. The hyper-personalized outreach campaigns powered by the Veteran Talent Source are generating email open rates of 80–90% and click-through rates five times higher than industry norms. These aren’t just efficiency gains but create a fundamentally better experience for veterans, who have long lived with the frustration of applying and never hearing back. Tim’s vision is for veterans inundated with recruiters who understand them, not spam from algorithms that don’t. But Tim’s ambitions go further than better sourcing. He wants veteran hiring to stop being a special project that lives in a corner of the TA function and instead become a normal part of a recruiter’s everyday workflow, all made possible by AI. Looking ahead to the agentic AI era, Tim sees the next leap: intelligent job posting and agent-driven delivery that reduces friction between “here’s my job description” and “here are the right people to talk to” to (almost) nothing. This conversation is essential listening for anyone in talent acquisition who wants to understand how AI creates new business value, not just faster versions of the old model. Related resources Podcast: Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You. Research: Insights-First AI: Better and Explainable People Decisions Research: The Talent Acquisition Revolution: How AI is Transforming Recruiting
• The Reinvention of Workday: From System of Record to Platform of Agents 27.04.2026 24min

  This week I discuss Workday’s new AI announcements described at the Innovation Summit last week. These are sweeping new product, leadership, and organizational changes that effectively reposition from a “system of record” to a “platform of agents.” As you’ll hear, not only is Workday clearly articulating their strategy to support and enable Agentic HR and Agentic Finance, the company has changed its organization, culture, and financial model. There’s a lot to unpack here, and I know all Workday customers, partners, and competitors will have opinions. In this podcast I try to explain this whole story and why it marks the beginning of a very new chapter for Workday as a business. Additional Information Experience Sana for Yourself: Galileo Mars Release Irresistible 2026: The Global Conference for HR Leaders and their Teams (June 8-10, USC) HR 2030: The Agentic Future of HR (detailed handbook coming!) Detailed Article on Workday  
• Workday's New Strategy, Enterprise AI Maturity, Meta Layoffs, and Surveillance 24.04.2026 21min

  This week I recap a busy week including corporate AI stories, Workday’s AI reinvention, more on tech Layoffs, and fears of AI-driven surveillance. The important story is that Enterprise AI is much more complex than most imagine yet the AI vendors like Anthropic and OpenAI make it sound deceptively simple. In reality, as I explain, we are one year into the total reinvention of all business functions, with HR top on the list. And as I explain, the vision of enterprise success is now clear, but the vendor market is incredibly insecure. I think you’ll find Workday’s story compelling, but it’s not the only option out there. On the news side, we saw the “pre-layoffs” of 10% of all Meta employees, elimination of family benefits at Deloitte and Zoom, and some amazingly creepy surveillance at Meta’s AI group. I review all this and try to give you some context. As you listen I encourage you to read our 2026 Enterprise AI Imperatives and the preview of HR 2030, our in-depth look at where AI in HR is going. An in-depth review of Workday’s new AI strategy is coming this next week. Additional Resources Meta Employees React to Massive Layoffs to Come Deloitte and Zoom Take the Lead in Slashing the Most Coveted Benefits The week that Meta employees became training data Why AI Is A Massive Job-Creation Technology, Despite What You Think Workday and Sana Unveil A Bold New Strategy For AI
• How One Of The Nation's Largest Universities Uses AI To Revolutionize Education 21.04.2026 24min

  In this episode, Kathi Enderes sits down with Rob McAuslan, Vice President for Artificial Intelligence at Southern New Hampshire University (SNHU), one of the world’s largest and most innovative online universities with more than 200,000 students. Before leading SNHU’s AI strategy, Rob taught, worked, and volunteered across Africa, the Mediterranean, and East Asia, working with populations ranging from K-12 students to refugees to graduate scholars. That lived experience shapes everything about how SNHU thinks about AI: not as a tool for automation, but as a means of expanding access, amplifying human potential, and meeting learners exactly where they are. SNHU is no ordinary university. As one of the largest and most innovative higher education institutions in the United States, it has built its reputation on making education accessible to learners who the traditional system has often left behind: working adults, career changers, veterans, and underserved communities. Rob’s role as VP for AI sits squarely at the intersection of that mission and the most consequential technological shift of our time. Rob and Kathi discuss what it really means to deploy AI with humans at the center, and what that demands of institutions, leaders, and learners alike. The conversation moves through the practical and the philosophical: How do you design AI experiences that honor the dignity and complexity of every individual? What does skills-based, AI-enabled learning look like for someone who has never had access to it before? And what can higher education teach the corporate world about building AI that actually serves people rather than simply processing them? If you’re a CHRO, CIO, learning leader, or business executive wondering how to move beyond pilots and hype, this conversation will show you what responsible, scalable AI adoption really looks like—and how to get started in your own organization. Related resources Podcast: The Rise Of The Supermanager – JOSH BERSIN Research: AI Pacesetters: Six Secrets Of The Superworker Company – JOSH BERSIN New Certificate Course in Galileo Learn: AI in L&D Get Galileo: The AI Superagent for You
• Important Issues Of Leadership, Trust and Culture Behind Big AI Companies 17.04.2026 19min

  This week, as Ronan Farrow’s expose on Sam Altman was published, I want to sensitize you to the fact that AI companies are run by humans. And this means that what we buy and how it works is very dependent on leadership, culture, values, ethics, and the personal motivations of these young, ambitious executives. Obviously this is nothing new, but in this case OpenAI and Anthropic are by far the fastest growing businesses ever created on planet earth. So their ability to steer, direct, and prioritize their investments makes a huge difference in how they meet the needs we have in our companies. I have learned over the years that great, long-lasting tech companies are among the most tumultuous businesses to lead. Not only are the personal economic payoffs huge (I live in a community with lots of Anthropic millionaires) but they are brutally competitive and the cost of a missed opportunity can sometimes be fatal. In this case, I admire all the people in this space but as the AI vendors play larger roles in our lives and careers, we have to think much harder about their leadership and culture. As you’ll hear, many others (analysts, stock market, politicians) are also working on this, and I think we’re likely to see some of the most interesting business “drama” play out in the coming years. As a consumer and buyer of AI, I encourage you to investigate the leadership, culture, and motivations of the vendors you do business with – it really matters. Additional Information New Yorker Expose on Sam Altman Interview with Ronan Farrow, author Irresistible: The Leadership Culture that Works The Value of Values When Organizations Lose Trust Get Galileo: All Our Research and Leadership Academy In AI  
• Why Microsoft Could Outpace Anthropic and OpenAI In Enterprise AI 13.04.2026 21min

  The Microsoft Copilot is even more expansive than you think. In this podcast (and detailed article on Substack) you see how Microsoft’s new Copilot “surface” (ie. product strategy) is likely to give them the lead in revenue and market share for Enterprise AI. There are many players to consider here: Anthropic, OpenAI, Oracle, Nvidia, and vendors like ServiceNow, Okta, and big platforms like Workday (Sana), SAP (Joule), Salesforce, and others. Despite all their various strengths and revenue streams, Microsoft has a huge advantage. And as you’ll hear, the corporate AI market is moving from “models” to “applications” (Surfaces) with an enterprise focus on Agent build, Agent deployment, Agent security, and Agent management. Microsoft is building to this direction and the recent leadership reorganization is fueling this momentum. Read this in-depth analysis of Microsoft vs. Anthropic vs. OpenAI revenue and enterprise AI strategy. Additional Information How Microsoft Could Take The Lead In Enterprise AI (substack) The Context Layer (Semantic Layer) In Enterprise AI And Where Business Rules Go (podcast) Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR